The remote sensing pollution mechanism in Cd-polluted soil is discussed depending on the research into the chlorophyll content of Cd-polluted rice leaf in the present paper. The response models of remote sensing information parameters, which reflected chlorophyll content variety of rice canopy with soil CA pollution degree, were established based on Hyperion satellite data and a great number of ground experiment data. To extract sensitive remote sensing parameters for CA pollution, multiple discriminant analysis (MDA) was applied to the reflectivity of 447-925 nm in Hyperion data and five remote sensing information parameters, including MCARI, NPCI, RVSI, NDVI and Depth671. Experiments indicated that MCARI is the most sensitive parameter to the chlorophyll content of Cd-polluted rice, whose response coefficient is 0. 59. In the extent of 1.0-2. 0 mg · kg^-1 of Cd pollution concentration in soil, MCARI curve shows a small decline. In the extent of 2.0-3.0 mg · kg^-1 of CA pollution concentration in soil, MCARI curve is horizontal. Above 3.0 mg · kg^-1, MCARI shows a significant drop trend and so on. The research results showed that the chlorophyll content is a good indicator for nutrition situation of plant, capacity of photosynthesis and each developmental stage. And the chlorophyll remote sensing parameters in crop have a great significance for monitoring heavy metal pollution. This study will help improve the precision and limitation of statistical methods and provide theoretical basis for and technical approach to monitoring soil Cd pollution in large area using hyperspectral remote sensing technology. However, the precision of pollution model needs to be improved.